Dear GEP-ed/ESS Colleagues: Passing on information about a variety of potentially useful 1-hour long introductory workshops organized by instats.org. Even though these are not specifically focused on GEP, these may be of broad interest to even those who don't do quantitative analysis. On the other hand, for those interested in a deep dive, they are also offering a day-long workshop on a relatively new approach of Necessary Condition Analysis (NCA) -- Please see the information below. My best wishes, Prakash p.s. I will be consulting Michael about whether this kind of (mis)use of this valuable list is permissible : )
*Free 1-hour introductions to SPSS, Stata, Mplus, and R* Instats is pleased to announce four new livestreaming *1-hour introductions to SPSS, Stata, Mplus, and R*. Registration is entirely free, and each workshop is designed to provide participants with a hands-on overview of the software interfaces, importing and managing data, descriptive statistics, and inferential statistics including univariate methods (regression/ANOVA) as well as multivariate methods (factor analysis/path analysis/SEM). Basic plotting methods will be described along with special features such as bootstrapping and Bayesian analysis where applicable. To register for free, you can use the following links -- and please feel free to tell any colleagues or students who you think might be interested! * SPSS seminar *(May 31): https://instats.org/seminar/introduction-to-spss-free-1-hour-semina5920 * Stata seminar *(June 7): https://instats.org/seminar/introduction-to-stata-free-1-hour-semin4694 * Mplus seminar *(June 14): https://instats.org/seminar/introduction-to-mplus-free-1-hour-semin7931 *R with RStudio seminar *(June 21): https://instats.org/seminar/introduction-to-r-with-rstudio-free-1-h9264 *TITLE: Free 1-day seminar on Necessary Condition Analysis (NCA)* For your research, if you've ever wanted to understand and model causal effects in a rigorous way that reflects the complexity of the real-world, Instats is offering a free 1-day workshop: Introduction to Necessary Condition Analysis (NCA) <https://instats.org/seminar/introduction-to-necessary-condition-anal7646> running May 10 -- spaces are limited, so sign up soon! NCA understands a cause as a necessary (but not sufficient) condition, rather than a probabilistic cause (as in regression analysis). “Necessary” means that a certain outcome will not occur without a certain level of the condition. This is independent of the rest of the causal structure. NCA is rapidly entering a variety of research fields and can be used as a stand-alone method or in combination with other methods (e.g., regression analysis, structural equation modeling, qualitative comparative analysis). This free 1-day seminar is being taught by Jan Dul, who invented NCA and co-authored the R package for NCA. Registration is entirely free! This seminar is perfect if, like many of us, you've wanted a way to go beyond simplistic ANOVA or regression-based approaches to causal effect estimation. The seminar will introduce you to NCA and then show you how to conduct analyses and make causal inferences through a series of worked examples. To register for free, use the following link -- and please feel free to tell your colleagues and friends/students! https://instats.org/seminar/introduction-to-necessary-condition-anal7646 Contact: Michael Zyphur <mzyp...@instats.org> Director Institute for Statistical and Data Science <http://goog_711907693>*instats.org* <http://instats.org> -- You received this message because you are subscribed to the Google Groups "gep-ed" group. To unsubscribe from this group and stop receiving emails from it, send an email to gep-ed+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/gep-ed/CAGFqAKr94P%2BOmrNF0KpypJ%3D99C8T%2B1RHvQXBBxLjGO2Ea0jWHQ%40mail.gmail.com.
